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Books > Computing & IT > Applications of computing > Signal processing

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Kernel Adaptive Filtering - A Comprehensive Introduction (Hardcover) Loot Price: R3,157
Discovery Miles 31 570
Kernel Adaptive Filtering - A Comprehensive Introduction (Hardcover): Liu

Kernel Adaptive Filtering - A Comprehensive Introduction (Hardcover)

Liu

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Loot Price R3,157 Discovery Miles 31 570 | Repayment Terms: R296 pm x 12*

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Online learning from a signal processing perspective

There is increased interest in kernel learning algorithms in neural networks and a growing need for nonlinear adaptive algorithms in advanced signal processing, communications, and controls. "Kernel Adaptive Filtering" is the first book to present a comprehensive, unifying introduction to online learning algorithms in reproducing kernel Hilbert spaces. Based on research being conducted in the Computational Neuro-Engineering Laboratory at the University of Florida and in the Cognitive Systems Laboratory at McMaster University, Ontario, Canada, this unique resource elevates the adaptive filtering theory to a new level, presenting a new design methodology of nonlinear adaptive filters.

Covers the kernel least mean squares algorithm, kernel affine projection algorithms, the kernel recursive least squares algorithm, the theory of Gaussian process regression, and the extended kernel recursive least squares algorithm

Presents a powerful model-selection method called maximum marginal likelihood

Addresses the principal bottleneck of kernel adaptive filters--their growing structure

Features twelve computer-oriented experiments to reinforce the concepts, with MATLAB codes downloadable from the authors' Web site

Concludes each chapter with a summary of the state of the art and potential future directions for original research

"Kernel Adaptive Filtering" is ideal for engineers, computer scientists, and graduate students interested in nonlinear adaptive systems for online applications (applications where the data stream arrives one sample at a time and incremental optimal solutions are desirable). It is also a useful guide for those who look for nonlinear adaptive filtering methodologies to solve practical problems.

General

Imprint: John Wiley & Sons
Country of origin: United States
Release date: March 2010
First published: 2010
Authors: Liu
Dimensions: 234 x 163 x 18mm (L x W x T)
Format: Hardcover
Pages: 240
ISBN-13: 978-0-470-44753-6
Categories: Books > Computing & IT > Applications of computing > Signal processing
Books > Professional & Technical > Electronics & communications engineering > Communications engineering / telecommunications > General
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LSN: 0-470-44753-2
Barcode: 9780470447536

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